Particulate matter pollution in Chinese cities: Areal-temporal variations and their relationships with meteorological conditions (2015–2017)

X Li, H Song, S Zhai, S Lu, Y Kong, H Xia, H Zhao - Environmental pollution, 2019 - Elsevier
As the second largest economy in the world, China experiences severe particulate matter
(PM) pollution in many of its cities. Meteorological factors are critical in determining both …

Particulate matter distributions in China during a winter period with frequent pollution episodes (January 2013)

J Jiang, W Zhou, Z Cheng, S Wang, K He… - Aerosol and Air Quality …, 2015 - aaqr.org
ABSTRACTParticulate matter distributions in China during January 2013 were analyzed
using hourly PM2. 5 and PM10 concentrations from 74 cities. Five haze episodes occurred …

Spatial and temporal variability of PM2. 5 and PM10 over the North China Plain and the Yangtze River Delta, China

J Hu, Y Wang, Q Ying, H Zhang - Atmospheric Environment, 2014 - Elsevier
Abstract The North China Plain (NCP) and the Yangtze River Delta (YRD) in China have
been experiencing severe particulate matter (PM) pollution problems associated with the …

Temporal and spatial analyses of particulate matter (PM10 and PM2. 5) and its relationship with meteorological parameters over an urban city in northeast China

X Li, Y Ma, Y Wang, N Liu, Y Hong - Atmospheric research, 2017 - Elsevier
Temporal and spatial characteristics of atmospheric particulate matter (PM 10 and PM 2.5)
and its relationship with meteorology over Shenyang, a city in northeast China, were …

Spatio-temporal variability of particulate matter in the key part of Gansu Province, Western China

Q Guan, A Cai, F Wang, L Yang, C Xu, Z Liu - Environmental pollution, 2017 - Elsevier
To investigate the spatial and temporal behaviors of particulate matter in Lanzhou, Jinchang
and Jiayuguan during 2014, the hourly concentrations of PM2. 5 and PM10 were collected …

[HTML][HTML] Characterizing spatial distribution and temporal variation of PM10 and PM2. 5 mass concentrations in an urban area of Southwest China

W Huang, E Long, J Wang, R Huang, L Ma - Atmospheric Pollution …, 2015 - Elsevier
To investigate the temporal and spatial behavior of particulate matter (PM 10 and PM 2.5),
daily data of PM 10 and PM 2.5 mass concentrations were collected from five air–quality …

Characteristics of PM2. 5 concentrations across Beijing during 2013–2015

S Batterman, L Xu, F Chen, F Chen, X Zhong - Atmospheric Environment, 2016 - Elsevier
High concentrations of particulate matter (PM2. 5) and frequent air pollution episodes in
Beijing have attracted widespread attention. This paper utilizes data from the new air …

Characteristics of Particulate Pollution (PM2.5 and PM10) and Their Spacescale-Dependent Relationships with Meteorological Elements in China

X Li, X Chen, X Yuan, G Zeng, T León, J Liang, G Chen… - Sustainability, 2017 - mdpi.com
Particulate matter (PM) pollution in China has an obvious characteristic of spatial
distribution. It is well known that intensive anthropogenic activities, such as fossil fuel …

Spatial–seasonal characteristics and critical impact factors of PM2.5 concentration in the Beijing–Tianjin–Hebei urban agglomeration

T Huang, Y Yu, Y Wei, H Wang, W Huang, X Chen - PLoS one, 2018 - journals.plos.org
As China's political and economic centre, the Beijing–Tianjin–Hebei (BTH) urban
agglomeration experiences serious environmental challenges on particulate matter (PM) …

Spatiotemporal patterns of recent PM2. 5 concentrations over typical urban agglomerations in China

Y Shen, L Zhang, X Fang, H Ji, X Li, Z Zhao - Science of the Total …, 2019 - Elsevier
China experiences severe particulate matter pollution associated with rapid economic
growth and accelerated urbanization. In this study, concentrations of PM 2.5 (fine particulate …